Abstract
In this paper, we present an integrated object-oriented knowledge representation framework developed for modelling and analyzing manufacturing systems. The proposed framework allows for an easier integration of artificial intelligence and operations research techniques within manufacturing-dedicated intelligent objects. We particularly focus on presenting intelligent objects used for scheduling purpose. Within such a framework, the capabilities of intelligent objects incorporate simple scheduling rules as well as external knowledge sources such as a mathematical programming code, self-contained adhoc heuristic scheduling procedures, a database or an expert system shell. Illustrative applications of the concepts discussed are presented, using the object-oriented programming environment of SMALLTALK-80 on SUN workstations.
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© 1992 Springer-Verlag Berlin · Heidelberg
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Lefrançois, P., Jobin, MH., Montreuil, B. (1992). An Object-Oriented Knowledge Representation in Real-Time Scheduling. In: Fandel, G., Gulledge, T., Jones, A. (eds) New Directions for Operations Research in Manufacturing. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-77537-6_16
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DOI: https://doi.org/10.1007/978-3-642-77537-6_16
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